😃 Emotion Detection from Text (Machine Learning + Flask App)

This project performs emotion classification of text using traditional machine learning models. It includes both:

• A Jupyter Notebook for training, evaluating, and saving the model
• A simple Flask Web App to interactively predict emotions from user input

---

📌 Project Features

🧪 Machine Learning Notebook (Emotion-Detection.ipynb)

• Text cleaning and preprocessing (stopwords, punctuation, emojis)
• Keyword extraction per emotion
• Emotion classification using:
  • Naive Bayes
  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Decision Tree
• WordCloud visualizations
• Model comparison
• Model export as .pkl

🌐 Flask Web App (app.py)

• Input a sentence on the web
• Backend uses saved model and vectorizer
• Real-time emotion prediction

---

📁 Project Structure

Emotion-Detection-Project/
├── Emotion-Detection.ipynb (Jupyter notebook for training and evaluation)
├── app.py (Flask app for interactive prediction)
├── emotion_model.pkl (Trained ML model (saved from notebook))
├── vectorizer.pkl (TF-IDF or CountVectorizer)
├── templates/index.html (Frontend UI for the Flask app)
├── requirements.txt (Python dependencies)
└── README.md (This file)

---

---

🚀 How to Run the Project

🔧 1. Install Required Packages

pip install -r requirements.txt

If you don’t have requirements.txt, manually install:

pip install flask scikit-learn nltk

import nltk
nltk.download('stopwords')

---

🧠 2. Train and Export the Model (from Notebook)

1. Open Emotion-Detection.ipynb in Jupyter Notebook

2. Run the notebook cells step-by-step

3. At the end, it will generate:

• emotion_model.pkl

• vectorizer.pkl

---

🌐 3. Run the Web App (From Terminal)

python app.py

Then go to: 👉 http://127.0.0.1:5000 in your browser Type in a sentence and see its predicted emotion in real-time.

---

📊 Sample Prediction

Input: "I feel so lonely and tired today."
Output: Predicted Emotion: sad

---

📄 License

This project is open-source and available under the MIT License.

---

🙋‍♂️ Author

Pankaj Kumar
GitHub: @PankajKumar-11